Random process analysis with R / (Record no. 7109)

MARC details
000 -LEADER
fixed length control field 02249cam a22003377i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250925155757.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220401t20222022enka b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0198862520
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780198862529
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780198862512
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0198862512
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Item number BitR
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Bittelli, Marco
245 10 - TITLE STATEMENT
Title Random process analysis with R /
Statement of responsibility, etc Marco Bittelli, Roberto Olmi and Rodolfo Rosa
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Oxford University Press;
Year of publication ©2022
300 ## - PHYSICAL DESCRIPTION
Number of Pages xi, 500p.
520 ## - SUMMARY, ETC.
Summary, etc Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, computer science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts, theory, and computer code written in R, helping readers with limited initial knowledge of random processes to become confident in their understanding and application of these principles in their own research. Consistent with modern trends in university education, the authors make readers active learners with hands-on computer experiments in R code directing them through RPA methods and helping them understand the underlying logic.<br/><br/>Each subject is illustrated with real data collected in experiments performed by the authors or taken from key literature. As a result, the reader can promptly apply the analysis to their own data, making this book an invaluable resource for undergraduate and graduate students, as well as professionals, in physics, engineering, biophysical and environmental sciences, economics, and social sciences.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Stochastic processes
General subdivision Mathematical models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Stochastic processes
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term R (Computer program language)
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Processus stochastiques
General subdivision Modèles mathématiques.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Processus stochastiques
General subdivision Informatique.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term R (Langage de programmation)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term R (Computer program language)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Stochastic processes
General subdivision Data processing
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Stochastic processes
General subdivision Mathematical models
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Olmi, Roberto
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rosa, Rodolfo
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Copy number Print Price Bill Date/Price effective from Koha item type
      Mathematics Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 30/09/2025 Today and Tomorrows Printers and Publishers 3384.38 TTPP/133/2025-26 519.2 BitR (11538) 11538 Copy 1 4834.83 30/09/2025 Books